Results 221 to 230 of about 256,031 (281)
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing. [PDF]
Zhu W, Chen K.
europepmc +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Mammogram Analysis with YOLO Models on an Affordable Embedded System. [PDF]
Intasam A +12 more
europepmc +1 more source
Trends and Techniques in 3D Reconstruction and Rendering: A Survey with Emphasis on Gaussian Splatting. [PDF]
Chen W, Li Z, Guo J, Zheng C, Tian S.
europepmc +1 more source
Dataset of RGB-D images of object collections from multiple viewpoints with aligned high-resolution 3D models of objects. [PDF]
Song X, Li M, Banerjee S, Banerjee NK.
europepmc +1 more source

